> For the complete documentation index, see [llms.txt](https://docs.productizeml.com/productize-ml/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.productizeml.com/productize-ml/productize-it/model-development.md).

# Model Development

![](/files/-MZHqSeOcIcLY79iYAG7)

Before starting to develop your own models, you should probably spend some time looking if someone or any other company has faced the same problem before. If so, maybe you might consider coming up with a similar approach or requesting access to one of their services.

You can find platforms like [Model Zoo](https://modelzoo.co/), that curates and organizes research works and makes deep learning pretrained models available to either plugging it into your system or training it on the top of their task. You can find different categories that go from computer vision, NLP, unsupervised learning, or reinforcement learning.

{% embed url="<https://modelzoo.co/>" %}

Only if you cannot find related work, then it is time to do some research to try to come up with the most optimal technology set up around network architectures, tools to use, hyper-parameters values, etc.


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